How to Use the Gandi.net (Domain Registration & Hosting API) MCP in LlamaIndex
Index your Gandi.net configurations with LlamaIndex. Query your DNS records and mailboxes using natural language.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Gandi.net (Domain Registration & Hosting API) MCP to LlamaIndex
Create your Vinkius account to connect Gandi.net (Domain Registration & Hosting API) to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Turn your DNS records into a knowledge base.
Stop guessing what your DNS is set to. Use this MCP Server to have your LlamaIndex agent run `list_dns_records` for all your domains and index the results into a vector store. Now you can ask questions like 'Which A records point to the old server IP?' and get an answer grounded in real-time data. The agent finds the relevant indexed records and synthesizes a direct response.
Build RAG apps on your live infrastructure.
Combine your infrastructure-as-code files with live data from the Gandi API. Your agent can pull hosting details with `list_hosting_instances` and `get_hosting_instance`, indexing them alongside your internal wikis. This gives your queries full context. When you ask about a service's configuration, your LlamaIndex app gets data from both your static docs and the live state via the Gandi.net tools.
Audit your Gandi.net setup with LlamaIndex.
Create an agent that periodically fetches your entire Gandi.net configuration. It can run `list_domains`, `list_mailboxes`, and `list_dns_records`, then index everything into a persistent store. You can then build a query engine to check for compliance. Ask things like 'Are there any domains without a DMARC record?' or 'List all mailboxes that are not part of the main organization' by querying the indexed data.
Set up Gandi.net (Domain Registration & Hosting API) MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Gandi.net (Domain Registration & Hosting API) MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Gandi.net (Domain Registration & Hosting API) tools.",
)
response = await agent.run("List recent Gandi.net (Domain Registration & Hosting API) data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Gandi.net. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Gandi.net (Domain Registration & Hosting API) MCP in LlamaIndex
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